Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 65% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
24 measurements spanning 88 days, net +198. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 6,177–6,448 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
3 Nov 2026, 11:30
6,417
+41
31 Oct 2026, 10:54
6,376
+13
28 Oct 2026, 09:06
6,363
-7
25 Oct 2026, 10:36
6,370
+2
22 Oct 2026, 00:38
6,368
+25
18 Oct 2026, 18:58
6,343
-9
16 Oct 2026, 02:47
6,352
-2
12 Oct 2026, 19:28
6,354
+16
6 Oct 2026, 14:02
6,338
+41
29 Sept 2026, 10:19
6,297
+27
19 Sept 2026, 11:17
6,270
+28
15 Sept 2026, 00:59
6,242
+8
11 Sept 2026, 08:56
6,234
+26
7 Sept 2026, 00:02
6,208
-10
2 Sept 2026, 07:34
6,218
-12
30 Aug 2026, 15:25
6,230
-2
28 Aug 2026, 00:24
6,232
-12
24 Aug 2026, 19:14
6,244
-18
20 Aug 2026, 18:03
6,262
+1
17 Aug 2026, 10:53
6,261
first reading
Engagement
43 posts held, back to 30 April 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
70.8%
avg views ÷ 6,417 subscribers
Avg views / post
4,540
16 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
16
of 43 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 November 2026
Posts held
43 (30 April 2026 – 2 November 2026)
Views total
72,690
Reactions total
735
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Nov 2026, 22:30 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
172
Videos
395
Links
610
Lifetime counters from Telegram’s own channel header, read 3 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1h 08m
Average length
1m 57s
Measured directly from 35 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
1,843 reactions across 40 posts, in 18 distinct kinds. The most used accounts for 61.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,124
61.0%
❤
439
23.8%
👏
71
3.85%
🔥
56
3.04%
❤🔥
37
2.01%
💯
29
1.57%
😁
24
1.30%
🤔
15
0.814%
🥰
15
0.814%
😢
12
0.651%
🏆
6
0.326%
🙏
5
0.271%
👎
3
0.163%
🌚
2
0.109%
🎉
2
0.109%
💘
1
0.054%
🕊
1
0.054%
🤝
1
0.054%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 40 of the 43 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,843 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 30 April 2026 to 2 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Onalar dono boʻladi❗️
Haligacha ilm-fan tagiga yetmagan bir fenomen bor. Bu - Onalar donoligi haqida! Oʻgʻli rektor, vazir, oʻzining sohasi boʻyicha professional, professor, mashhur yozuvchi va kitoblar yozgan. Lekin Onasi oddiy farrosh, oddiy bogʻcha opa... Shunday bo'lsa- da, Onasi dono inson! Qayerdan bu donolik? Bu psixogenetikami yoki ilohiyot?!
Ertadan kechgacha kitob oʻqimagan boʻlsa, fan nomzodi yo doktori …
🧠 Ayol kishi stressni ichiga yutaversa, qanday oqibatlar kelib chiqadi?
Ilmiy tadqiqotlarda uzoq davom etgan stressning organizmga ta’siri o‘rganilgan va stress bilan ta’sirlangan ichak sindromi o‘rtasidagi bog‘liqlik isbotlangan.
⚠️ Stressni ichiga yutib yuradigan ayollarda:
• Neyrorespirator sindrom — nafas olish qiyinlashishi;
• Kardiosenestopatik sindrom — yurak bezovtaligi;
• Ta’sirlangan ichak sindromi — icha…
Sinfdoshdan uzilma❗️
🎓 Sinfdoshlaridan uzoqlashgan odam o‘z bolaligidan uzoqlashgan bo‘ladi. Katta lavozimga erishib, sinfdoshlarini tan olmagan odam aslida o‘z bolaligini tan olmagan bo‘ladi.
Men uchun sinfdoshlarim — bolaligimni eslatib turadigan insonlar. Biz matematika sinfida o‘qiganmiz, sakkizinchi sinfdan keyin daryo bo‘yiga chiqib, pul yig‘ib, birga vaqt o‘tkazganmiz.
Bugun kimdir professor, kimdir oddiy q…
👨👩👧👦 FARZANDLARIMIZGA VAQT AJRATAYLIK!
⏰ Har kuni atigi 12 daqiqa bo‘lsa ham, telefonni chetga qo‘yib, bolamizni bag‘rimizga bosaylik, dardini tinglaylik, u bilan chin dildan suhbatlashaylik.
💼 Biz esa ko‘pincha tirikchilik, ish va telefon bilan ovora bo‘lamiz. Unutmaylik, farzandlarimiz bizga aynan bugun muhtoj!
❤️ Quyosh oila uchun botadi, tong oila uchun otadi. Vaqtimizni oilamizga ham bag‘ishlaylik!
🏡 Oila…
"Manga garak amas!" — Fransiyaning faxriy unvonini rad atgan özbek professori!
"XORAZMLI" kanalinda hamma kutgan mehmon — professor Zarifboy Ibodullayev!
❓ Bugungi tibbiyot biznesa aylanib qaldimi ?
❓ Nuchun oddiy tozalik xodimini yo qorovulni mensimimiz?
❓ Jurnalistlara söllaşa majbur bölğan haqiqatlar novvilardan iborat adi .
Ilm, vijdon, milliy ğurur va ata xotirasi haqqinda yurakka yetib boradiğon gurung .
⏰ …
🌡 Doimiy isitmaga kuchli stress sabab bo‘lishi mumkinmi?
Ba’zi bemorlar tana harorati doimo 37,5–38,5 daraja bo‘lishidan shikoyat qiladi. Shunday bo‘lsa-da, ular ishga borib-kelaveradi. Aspirin yoki paratsetamol ichsa ham, isitmasi tushmaydi.
🔴 Bunday holatda quyidagi belgilar kuzatilishi mumkin:
🔹 Bo‘g‘imlarda og‘riq;
🔹 Ishtahaning pasayishi;
🔹 Ko‘p terlash;
🔹 Qo‘rquv, xavotir va vahima.
🧠 Bemor bilan suhbatlash…
🇺🇿 21-OKTABR — O‘ZBEK TILI BAYRAMI MUBORAK 🇺🇿
🌿 Qadrli yurtdoshlar
Sizlarni Klinik Psixologiya Markazi jamoasi nomidan O‘zbek tili bayrami bilan chin qalbimizdan muborakbod etamiz
Ona tilimiz — milliy o‘zligimiz, ma’naviyatimiz, tariximiz va qalbimiz ifodasidir. U bizni ajdodlarimiz bilan bog‘laydigan, qadriyatlarimizni avlodlardan avlodlarga yetkazadigan bebaho boyligimizdir.
Tilimizni asrash, uning sofligini sa…
🩺 Tez-tez ich ketishi yoki qabziyat — asab tizimi bilan bog‘liq bo‘lishi mumkinmi?
Tibbiyotda ta’sirlangan ichak sindromi degan tashxis bor. Bu muammo bilan menga ko‘plab bemorlar murojaat qiladi.
🔹 Tez-tez ich ketishi yoki bir necha kunlab qabziyat;
🔹 Ovqatdan keyin qorinda noqulaylik;
🔹 Og‘izga achchiq ta’m kelishi, ishtaha o‘zgarishi;
🔹 Doimiy hojatxona izlab yurish va xavotirlanish.
🧠 Bunday holatlar ichak va …
🍐 Behining qanday foydali xususiyatlari bor?
🍯 Behining o‘rtasini o‘yib, ichiga toza asal solib, mantiqosqonda dimlab iste’mol qilishni ko‘p tavsiya etishadi.
🫁 Dimlangan behi, ayniqsa, doimiy quruq yo‘tal va surunkali bronxitni tez yengishda samara beradi. Shuningdek, behining suyak to‘qimalari, paylar va qon tomirlari uchun ham foydasi katta.
🌿 Men anjir, qovoq va behining foydalilik darajasini bir qatorga qo‘yg…
🧠 Fibromialgiya: nega butun tanada og‘riqlar paydo bo‘ladi?
❗️ Fibromialgiya — mushaklar, bo‘g‘imlar va paylarda, tananing deyarli barcha qismlarida og‘riqlar bilan namoyon bo‘ladigan kasallik.
💊 Uzoq muddat nevroz va depressiyadan aziyat chekayotgan bemorlarda fibromialgiya kuzatilishi mumkin.
💉 Biz bunday holatlarda vegetativ asab tizimi nuqtalariga mikroinyeksion terapiya qo‘llaymiz. Bu usul orqali organizmning…
🧠 O‘ZBEKISTONDA ILK BOR — PSIXOMOTOR TERAPIYA BO‘YICHA XALQARO SEMINAR-TRENING!
🇫🇷 Fransiyalik professor Fransuaza Jiromini boshchiligida o‘tkaziladigan trening davomida psixomotor terapiyaning zamonaviy yondashuvlari, insonning ruhiy va jismoniy rivojlanishi o‘rtasidagi bog‘liqlik hamda ushbu yo‘nalishning amaliy ahamiyati bilan yaqindan tanishish imkoniyatiga ega bo‘lasiz.
📅 Sana: 4–9-noyabr
📍 Manzil: EMU Univer…
Maktabning moddiy-texnik ta’minoti o‘qituvchining emas, hukumatning vazifasi. Maktablarda bolalarni uch mahal sifatli ovqat bilan ta’minlash tizimini yo‘lga qo‘yish kerak. Ertalab yengil nonushta, tushlikda to‘yimli ovqat, darsdan qaytishda esa yana yengil tamaddi berilishi lozim.
Instagram | Facebook | Telegram |YouTube | asab.uz
👍52👏8❤3❤🔥2🏆1
Showing the 12 most recent of 43 posts we hold for @izrmed. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@izrmed named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@zarifboy_ibodullayev_official named in 2 posts, 8 August 2026 – 9 August 2026
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“Zarifboy Ibodullayevning rasmiy kanali” (@izrmed), 6,417 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/izrmed.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.